DocumentCode
1798460
Title
Some topological and measure properties of rough sets
Author
Qun-Feng Zhang ; Tian-Yi Zhang
Author_Institution
Sch. Of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
2
fYear
2014
fDate
13-16 July 2014
Firstpage
807
Lastpage
810
Abstract
Since rough set theory was proposed by Pawlak in 1982, it has been investigated extensively and applied in a wide range of research fields such as machine learning and data mining. However, the pure mathematical explorations of rough sets have not been paid sufficient attention. This paper explores rough set theory from the point of view of topology and measure theory, and proves a few propositions about its properties.
Keywords
rough set theory; topology; data mining; machine learning; measure property; rough set theory; topological property; Abstracts; Decision system; Measure; Reducts; Rough sets; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2160-133X
Print_ISBN
978-1-4799-4216-9
Type
conf
DOI
10.1109/ICMLC.2014.7009713
Filename
7009713
Link To Document